多换乘站多车场响应型接驳公交的协调优化

Coordinated optimization of responsive feeder transit with multiple depot and transfer station

为提高响应型接驳公交系统的运行效率,针对具有多个换乘站、多个车场的响应型接驳公交系统,提出了多换乘站多车场协同运营、车辆路径与调度协调设计的思路。同时考虑预约需求和实时需求,构建了响应型接驳公交多换乘站多车场地协同运行车辆路径与调度协调的二阶段模型,设计了多染色体遗传算法。计算结果表明:在给定的混合需求下,与独立运营相比,协同运营模式的总费用降低了14.4%,运行时间减少了24.2%,发车次数减少了3次;增加小车型占50%时,独立运营和协同运营的系统总费用分别降低了7.3%和7.5%。

In order to improve the operational efficiency of responsive feeder transit,an idea of method for responsive feeder transit system was proposed.Which consists of the coordinated operation of multiple depots and transfer stations,the coordinated design of running routes,and the vehicle scheduling.Considering the mixed demand of reservation and real-time,the two-stage model of responsive feeder transit system was built to coordinate the running routes and vehicle scheduling.The multi-chromosomes genetic algorithm was then designed.The results show that,under the same conditions of mixed demand,the total cost,the running time and the number of departures of the collaborative operation mode is reduced by 14.4%,24.2%,and 3 times respectively,compared with the independent operation.By increasing the proportion of small vehicle to 50%,the total system cost of the independent operation and the collaborative operation is reduced by 7.3%and 7.5% respectively.